PROBLEMATIC USE OF SMARTPHONE AND NOMOPHOBIA AMONG MEDICAL AND NURSING UNDERGRADUATE STUDENTS OF A TERTIARY CARE REFERRAL HOSPITAL IN INDIA AND ITS ASSOCIATION WITH QUALITY OF LIFE: A CROSS-SECTIONAL OBSERVATIONAL STUDY.

Background: Overuse of smartphone amongst today's young generation has assumed an epidemic proportion. Assessment of severity of Nomophobia and Smartphone use related problems is important as it can help to ascertain the current adverse consequences of Smartphone problematic use. The study aims to assess the association between smartphone dependence, nomophobia and quality of life in undergraduate medical and nursing students in a tertiary care referral hospital cum medical institution in India.

An Optical Flow-Based Approach for Minimally Divergent Velocimetry Data Interpolation.

Three-dimensional (3D) biomedical image sets are often acquired with in-plane pixel spacings that are far less than the out-of-plane spacings between images. The resultant anisotropy, which can be detrimental in many applications, can be decreased using image interpolation. Optical flow and/or other registration-based interpolators have proven useful in such interpolation roles in the past.

Convolutional Neural Networks for Direct Inference of Pharmacokinetic Parameters: Application to Stroke Dynamic Contrast-Enhanced MRI.

The T1-weighted dynamic contrast enhanced (DCE)-MRI is an imaging technique that provides a quantitative measure of pharmacokinetic (PK) parameters characterizing microvasculature of tissues. For the present study, we propose a new machine learning (ML) based approach to directly estimate the PK parameters from the acquired DCE-MRI image-time series that is both more robust and faster than conventional model fitting. We specifically utilize deep convolutional neural networks (CNNs) to learn the mapping between the image-time series and corresponding PK parameters.

An Alternative Approach for Supportive Supervision and Skill Measurements of Health Workers for Integrated Management of Neonatal and Childhood Illnesses Program in 10 Districts of Haryana.

Context: "Integrated Management of Neonatal and Childhood Illnesses" (IMNCI) needs regular supportive supervision (SS).

Aims: The aim of this study was to find suitable SS model for implementing IMNCI.

Settings And Design: This was a prospective interventional study in 10 high-focus districts of Haryana.